This role pays more than
58%
of similar roles. Most pay
$165,764–$226,350
— the shaded band above.
At the midpoint, this role pays about
$195k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About Oracle
Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.
Oracle currently has
513 open roles
on FindRole.
Listed pay typically runs
$97,800–$209,500
across 384 roles with salary data.
Manager, Core Infrastructure Engineering leads and develops a class of early-career engineers within the Strategic Customer Engineering team. This role focuses on mentoring new professionals to build technical judgment and provide white-glove engineering support for high-demand GPU and AI/ML infrastructure environments. The manager designs onboarding programs covering GPU cluster deployment, Slurm, Oracle Kubernetes Engine, automation, monitoring, multicloud, and database readiness. Key responsibilities include coaching team members on infrastructure performance fundamentals like parameter tuning and resource utilization while overseeing troubleshooting for scalability and reliability. Required technical skills include proficiency in Linux systems, networking concepts, security principles, and automation tools such as Ansible, Terraform, Python, Docker, and Kubernetes. The role addresses the complex challenge of designing, operating, and optimizing large-scale GPU clusters to power next-generation AI workloads for strategic customers.
Lead, mentor, and develop a class of early-career engineers on technical growth and customer engagement.
Design and manage onboarding programs covering GPU clusters, Slurm, Kubernetes, automation, and infrastructure performance.
Provide coaching on infrastructure fundamentals like parameter tuning, resource utilization, and data pre-processing for AI workloads.
Oversee the team's approach to troubleshooting complex issues regarding performance, scalability, and reliability.
Ensure the team documents infrastructure designs, configurations, runbooks, and procedures to maintain shared knowledge.
Coach team members to become credible customer advocates who can explain advanced GPU solution best practices.
Partner with senior leadership to manage staffing needs and track the progress of the engineering class.
What we're looking for
7+ years of relevant infrastructure, cloud, platform, or software engineering experience including leading or mentoring engineers.
Demonstrated people-management, mentoring, or talent-development skills with a consistent approach to feedback and performance management.
Experience building, operating, or supporting distributed and cloud infrastructure solutions in a customer-focused environment.
Experience designing, implementing, managing, or supporting infrastructure for AI/ML, HPC, GPU, or similar complex cloud workloads.
Working knowledge of infrastructure automation and orchestration tools such as Ansible, Terraform, Python, Docker, Kubernetes, and related tooling.
Strong Linux skills with hands-on experience in Oracle Linux, RHEL, CentOS, Ubuntu, or Debian including system administration and performance optimization.
Proficiency in at least one programming language such as Python, Rust, Go, Java, or Scala.
BS or MS degree, or equivalent experience, relevant to the functional area.
Oracle Cloud Infrastructure
Java
Python
AWS
Azure
GCP
Kubernetes
System Design
IAM
Distributed Systems
API Design
Data Modeling
Test Automation
Observability
Agile
Go
C#
Oracle Database